Learn essential technical interview skills, from live coding to algorithmic problem-solving. Prepare for software engineering interviews.
Learn essential technical interview skills, from live coding to algorithmic problem-solving. Prepare for software engineering interviews.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Object Oriented Java Programming: Data Structures and Beyond Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
پښتو, বাংলা, اردو, 3 more
What you'll learn
Master technical phone screening and live coding challenges
Develop effective problem-solving strategies for algorithmic questions
Communicate technical solutions clearly and confidently
Present past projects using the STAR method
Overcome common interview pitfalls and challenges
Handle whiteboard coding interviews with confidence
Skills you'll gain
This course includes:
5.7 Hours PreRecorded video
20 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This comprehensive course, developed with support from Google's recruiting and engineering teams, prepares students for technical software engineering interviews. The curriculum covers essential aspects of technical interviews, including live coding, algorithmic problem-solving, and effective communication. Students learn through practical exercises, mock interviews, and real-world examples, focusing on both technical skills and soft skills needed for successful interviewing. The course emphasizes hands-on practice with coding challenges, whiteboard problems, and personal narrative development.
Welcome & What is a Software Engineering Interview?
Module 1 · 5 Hours to complete
Welcome & What is a Software Engineering Interview?: Lesson Choices
Module 2 · 1 Hours to complete
Live coding: the technical phone interview and beyond
Module 3 · 4 Hours to complete
Explaining what you've already done
Module 4 · 1 Hours to complete
Explaining what you've already done: Lesson Choices
Module 5 · 1 Hours to complete
Algorithmic thinking on the fly
Module 6 · 5 Hours to complete
Fee Structure
Instructors

5 Courses
Distinguished Computer Science Educator and Educational Innovation Pioneer
Dr. Leo Porter serves as a Professor of Computer Science at UC San Diego, where he co-founded the Computing Education Research Laboratory focused on understanding how students learn computing and creating inclusive learning environments. His journey includes service as a surface warfare officer in the U.S. Navy's Pacific fleet and Operation Iraqi Freedom before earning his M.S. and Ph.D. in computer science from UC San Diego in 2007. His groundbreaking research in computer science education, particularly on Peer Instruction and active learning pedagogies, has earned numerous accolades, including Best Paper Awards at SIGCSE and the International Computing Education Research Conference. Recently, he co-authored "Learn AI-Assisted Python Programming" with Daniel Zingaro, addressing the integration of AI tools in programming education. His research spans computer architecture, educational technology, and student learning assessment, with particular emphasis on using data-driven approaches to predict student outcomes and identify critical course concepts. As a Distinguished Member of the ACM, he has influenced over 500,000 learners through popular Coursera and edX courses while maintaining active research in both computer science education and computer architecture.
Champion of Inclusive Computer Science Education
Christine Alvarado serves as Associate Teaching Professor in Computer Science and Engineering at UC San Diego and Associate Dean for the Division of Undergraduate Education. Her distinguished career combines technical expertise with a passionate commitment to diversifying computer science education. After earning her Ph.D. from MIT in 2004, she began her academic career at Harvey Mudd College before joining UCSD in 2012. Her innovative work includes founding the CSE Early Research Scholars Program, which has engaged over 339 early undergraduates in computing research, with significant participation from women, non-binary students, and underrepresented racial groups
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Frequently asked questions
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